Beginner Deep Learning Tutorial in PyTorch | How to Make a Convolutional Neural Network | Tutorial 1

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  • Опубликовано: 25 янв 2025

Комментарии • 21

  • @GregHogg
    @GregHogg  Год назад

    Take my courses at mlnow.ai/!

  • @meenakshichippa260
    @meenakshichippa260 Год назад +1

    At every point video was informative and interesting. The way you communicate is very easy to understand

  • @spirit1484
    @spirit1484 Год назад +1

    this is dope, thank you so much. Would love to see more in this series

    • @GregHogg
      @GregHogg  Год назад

      Thanks a ton - I will try!

  • @itsRemco
    @itsRemco Год назад +1

    Bro that was such a clear tutorial, I subbed

  • @yyttommy2456
    @yyttommy2456 3 месяца назад

    very detailed, step by step thank u

  • @mahmoudmohsen7989
    @mahmoudmohsen7989 Год назад +2

    Great job greg
    Would you do sequance models in pytorch ,please?

    • @GregHogg
      @GregHogg  Год назад +1

      Absolutely will do, just wait :)

  • @TheMISBlog
    @TheMISBlog Год назад

    Very useful Video, thanks greg

    • @GregHogg
      @GregHogg  Год назад

      Glad to hear it! You're very welcome:)

  • @user-wr4yl7tx3w
    @user-wr4yl7tx3w Год назад

    great explanation.

    • @GregHogg
      @GregHogg  Год назад

      Really glad to hear that!!

  • @김화겸-y6e
    @김화겸-y6e Год назад

    Why didn't you use the chroma key to make the background transparent?

  • @AminYas
    @AminYas Год назад

    Great video

    • @GregHogg
      @GregHogg  Год назад

      Thanks very much! :)

  • @dev_jun
    @dev_jun Год назад +1

    Make long tuts

    • @GregHogg
      @GregHogg  Год назад +2

      35 minutes is pretty long!

    • @dev_jun
      @dev_jun Год назад

      @@GregHoggyes it is

  • @mikekertser5384
    @mikekertser5384 Год назад

    For some reason, Pytorch seems to be much more complicated than TF...

    • @GregHogg
      @GregHogg  Год назад +1

      It's a lot more code. But it's very flexible, and once you get used to it, you may like it better. Or maybe not :)